Type this exactly: cat /opt/ai-lab/deploy/ai-gateway.yaml
cat /opt/ai-lab/deploy/ai-gateway.yaml
Serving, containers, and resources
Read container resource use
Read container resource use through a bounded evidence-first AI operations workflow in the training lab.
Serving, containers, and resourcescat /opt/ai-lab/deploy/ai-gateway.yamlaiops models inspect read-container-resource-usedocker compose config
Lesson 112 of 180
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Serving, containers, and resources · 6 min
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learner@aiops:/home/learner $
AI operations lab: type a command, press Enter
Instructions
6 min
Click any instruction for the command details, the why, and the common mistake to avoid.
Type this exactly: aiops models inspect read-container-resource-use
aiops models inspect read-container-resource-use
Type this exactly: docker compose config
docker compose config
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Lesson support
What to notice while you play.
Use commands and observable output to explain read container resource use without changing a real model or service.
Start with cat /opt/ai-lab/deploy/ai-gateway.yaml. Then run aiops models inspect read-container-resource-use before collecting the final evidence.
Read container resource use is an operator skill because AI behavior must be connected to versioned configuration, runtime state, and inspectable evidence.
- Skipping the baseline fixture before reasoning about read container resource use.
- Treating one simulated output as proof of root cause instead of one bounded piece of evidence.
Reference
Commands in this lesson.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.
docker
Inspect fixed container, log, stats, and compose fixtures; execution and pulls are blocked.